南京大学学报（自然科学版）2013，Vol.49Issue(2)：268-277,10.
基于灰色神经网络的多Agent服务集成系统服务质量预测
Quality of service prediction of multi-agent web service integration system based on gray neural network
摘要
Abstract
Along with emerge of a large number of web service in the net work, quality of service(QoS) becomes more and more significant in the web service selection. The QoS prediction is not only an important means of web services selection, but also has an important significance of the entire service composition process. The Existing QoS prediction is divided into static QoS prediction and dynamic QoS prediction, and the existing QoS prediction method is divided into recommend prediction algorithm, reasoning prediction algorithm, artificial intelligence prediction algorithm. However, most of the prediction method is only for QoS static prediction problem of web service selection, lack of support QoS management and dynamic prediction model and prediction accuracy aspects to be improved. Software Agent is an independent function calculation entity of distributed system and the cooperation system,which has the characteristics of autonomy,interactivity, reactivity and initiative. In order to perform the dynamic QoS prediction and make up for the shortage of the current web service integration model,we put forward a web service integration model based on multi-agent called QoS oriented multi-agent web service integration model (QOMAWSIM) through joined the service agent and quality agent in the traditional web service layer. QOMAWSIM including application layer web service layer, intelligent Agent layer and the user layer. This model can provide QoS management operation,such as web service QoS validation,QoS negotiation and QoS monitoring,which makes it easier to realize the dynamic QoS prediction and dynamic service selection. Then based on QOMAWSIM , this paper put forward a new method for QoS prediction of web service using grey-neural network. Grey neural network not only have the advantages of accumulation generation in the grey forecasting method,but also play the neural network intelligent processing characteristic-cs. Finally MATLAB is used to build the model of QoS dynamic prediction and the simulation results show that this method is feasible and effective.关键词
多Agent/web服务集成/服务质量动态预测/灰色神经网络Key words
multi-agent/ web service integration/quality of service/dynamic prediction/gray neural network引用本文复制引用
张淼淼,李决龙,邢建春,杨启亮..基于灰色神经网络的多Agent服务集成系统服务质量预测[J].南京大学学报（自然科学版）,2013,49(2):268-277,10.基金项目
国防预研基金(AY208J003) （AY208J003）
